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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10124
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    Explanations

    factors related to body measurements and health metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     مشين
    -0.60
    GEBURTSDATUM
    -0.59
    évaluateur
    -0.54
     OMITBAD
    -0.50
    出版年
    -0.44
     disambiguazione
    -0.44
    Hozzáférés
    -0.43
    fitrión
    -0.43
    WebElementEntity
    -0.42
     Hinton
    -0.41
    POSITIVE LOGITS
     body
    0.53
     anthropo
    0.49
     lean
    0.47
     subjects
    0.46
     Body
    0.46
    舺
    0.45
    Body
    0.45
     mean
    0.45
     stature
    0.44
     stadio
    0.42
    Activations Density 2.186%

    No Known Activations